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JOURNALS // Computer Optics // Archive

Computer Optics, 2017 Volume 41, Issue 3, Pages 453–460 (Mi co405)

This article is cited in 8 papers

NUMERICAL METHODS AND DATA ANALYSIS

Research of an algorithm for crystal lattice parameter identification based on the gradient steepest descent method

A. S. Shirokaneva, D. V. Kirshab, A. V. Kupriyanovab

a Samara National Research University, Samara, Russia
b Image Processing Systems Institute of the RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Samara, Russia

Abstract: In the analysis of a crystalline substance, the problem of crystal lattice parameter identification is of a great interest. However, the existing methods for solving this problem, such as the Bravais cell parameters estimation method and Wigner-Seitz cell volume estimation method, do not provide the required level of accuracy. Aiming to address the problem of low identification accuracy, the paper proposes an algorithm for crystal lattice parameter identification based on the gradient steepest descent method. The study of the feasibility of the structure parameter identification is carried out using a large set of distorted lattices. The results obtained show a significant increase in the identification accuracy in comparison with the above-mentioned parameter identification methods.

Keywords: parametric identification, unit cell, crystal lattice, Bravais cell, Wigner-Seitz cell, gradient steepest descent method.

Received: 29.05.2017
Accepted: 05.07.2017

DOI: 10.18287/2412-6179-2017-41-3-453-460



© Steklov Math. Inst. of RAS, 2024